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Exactly. If you reach a roadblock you need to be aware, that there are risks and rewards to whatever path you take. For example you can invest a lot of time in

Exactly. If you reach a roadblock you need to be aware, that there are risks and rewards to whatever path you take. For example you can invest a lot of time in learning some kind of framework and get really proficient. Maybe that opens up new opportunities to you. Maybe in a few years the framework falls behind and you should have better invested your time in something else? I think you can do a lot of great things without knowing every detail of a black box. And it allows you to spend your time on other things which are maybe worthwhile in the long run. What's important is that you do not avoid digging deeper into a topic just because of pure habit. Maybe that kind of self-reflection is a trait which is less prevalent in "Expert Beginners" called out in the article.

scarface74 6y ago
For example you can invest a lot of time in learning some kind of framework and get really proficient. Maybe that opens up new opportunities to you. Maybe in a few years the framework falls behind and you should have better invested your time in something else? Every framework gets out of date after a few years. It’s par for the course in technology. You have to ride the hype cycle.
visarga 6y ago
> If you reach a roadblock you need to be aware, that there are risks and rewards to whatever path you take. This sounds pretty similar to the exploration-exploitation tradeoff in reinforcement learning (game playing AIs). Exploration comes at a cost, and exploiting current knowledge is safer, but if the agent doesn't explore enough it will have lower total score. A good exploration strategy is a must because knowledge comes from exploration.
- oblio 6y ago
  Humans frequently get this wrong. Most low level players don't scout because it doesn't have a direct and gratifying impact on the game development plus it has a cost. In most competitive games with scouting you have to move up the ladder quite a bit to find solid scouting.

scarface74 6y ago

For example you can invest a lot of time in learning some kind of framework and get really proficient. Maybe that opens up new opportunities to you. Maybe in a few years the framework falls behind and you should have better invested your time in something else? Every framework gets out of date after a few years. It’s par for the course in technology. You have to ride the hype cycle.

visarga 6y ago

> If you reach a roadblock you need to be aware, that there are risks and rewards to whatever path you take. This sounds pretty similar to the exploration-exploitation tradeoff in reinforcement learning (game playing AIs). Exploration comes at a cost, and exploiting current knowledge is safer, but if the agent doesn't explore enough it will have lower total score. A good exploration strategy is a must because knowledge comes from exploration.

oblio 6y ago
Humans frequently get this wrong. Most low level players don't scout because it doesn't have a direct and gratifying impact on the game development plus it has a cost. In most competitive games with scouting you have to move up the ladder quite a bit to find solid scouting.